The productivity of greenhouses highly depends on the environmental conditions crops, such as temperature and humidity. control monitoring might need large sensor networks, a consequence, mobile sensory systems be more suitable solution. This paper describes application heterogeneous robot team to monitor variables greenhouses. multi-robot system includes both ground aerial vehicles, looking provide flexibility improve performance. measures temperature, humidity, luminosity carbon dioxide...

Multiple robot missions imply a series of challenges for single human operators, such as managing high workloads or maintaining correct level situational awareness. Conventional interfaces are not prepared to face these challenges; however, new concepts have arisen cover this need, adaptive and immersive interfaces. This paper reports the design development an interface, well complete set experiments carried out establish comparisons with conventional one. The interface object study has been...

The search of a given area is one the most studied tasks in swarm robotics. Different heuristic methods have been past taking into account peculiarities these systems (number robots, limited communications and sensing computational capacities). In this work, we introduce behavioral network made up different well-known behaviors that act together to achieve good performance, while adapting scenarios. algorithm compared with six strategies based on movement patterns terms three performance...

Smart Cities have emerged as a strategy to solve problems that current cities face, such traffic, resource management, waste, pollution, etc. Most of the City proposals are based on placing sensors in fixed locations city or, at most, public transportation systems. These strategies can produce blind zones, given or their movement cannot be controlled. The SwarmCity Project proposes use an aerial swarm monitor state, including crowds, climate and pollution. This paper is focused traffic tries...

Aerial robotic swarms have shown benefits for performing search and surveillance missions in open spaces the past. Among other properties, these systems are robust, scalable adaptable to different scenarios. In this work, we propose a behavior-based algorithm carry out task rectangular area with flexible number of quadcopters, flying at speeds. Once efficiency is quantitatively analyzed, robustness system demonstrated 3 tests: loss broadcast messages, positioning errors, failure half agents...

For several applications involving Unmanned Aerial Vehicles (UAVs), a moving target must the tracked and followed autonomously. Several algorithms have been already proposed, mainly based on three different strategies, assuming in most of cases trajectory known advanced. We here propose new algorithm compared it with well widely used control tracking ship-tracking scenario. Our proposal is derived from qualitative analysis system response when UAV low level controller implemented. Besides,...

<p class="icsmabstract">Los sistemas multi-robot están experimentando un gran desarrollo en los últimos tiempos, ya que mejoran el rendimiento de las misiones actuales y permiten realizar nuevos tipos misiones. Este artículo analiza estado del arte multi-robot, abordando conjunto temas relevantes: misiones, flotas, operadores, interacción humano-sistema e interfaces. La revisión se centra retos relacionados con factores humanos como la carga trabajo o conciencia situación, así...

The control and monitoring of the UAV missions is a challenge in terms operator workload. Two relevant issues are situational awareness decision support operators. This paper proposes system that able to analyze telemetry deduce state mission. uses Petri nets for determining trees estimating evolution. Both generated automatically from previous missions. whole validated by set realistic simulator. results can be applied diverse areas, including development intelligent adaptive interfaces or systems.

<span class="fontstyle0">A día de hoy, existen en el mercado una gran cantidad aeronaves sin piloto que pueden ser comandadas con ordenes alto nivel para realizar tareas complejas forma casi automatica, como por ejemplo mapeo explotaciones agrícolas. De natural, nos podemos preguntar si sería posible coordinar a un grupo estos robots esas mismas más rápida, flexible y robusta. En este trabajo se repasan las han planteado resolver sistemas compuestos grupos no tripuladas los algoritmos...

In the above-named article, affiliation of authors should have been "Centre for Automation and Robotics (CAR), Universidad Politécnica de Madrid (UPM), 28006 Madrid, Spain."